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Data & AI Engineer
Team PasserelleData & AI Engineer working with structured and unstructured data for AI systems. Creating data models and pipelines while ensuring compliance with data governance.
Tech Stack
Tools & technologiesAirflowETLPythonSQL
About the role
Key responsibilities & impact- You create data maps across heterogeneous inventories and assess the maturity of the digital foundation.
- You unlock unstructured data sources (PDFs, reports, publications) for use in AI systems.
- You develop metadata and identifier concepts, data models, and embedding pipelines, and build the retrieval layer for RAG applications.
- You handle sensitive data responsibly and coordinate closely on AI governance, data protection, EU AI Act, and sovereignty requirements.
- You will build and operate ingest and retrieval pipelines for proprietary software products in the future.
Requirements
What you’ll need- Several years (3+ years) in Data Engineering or as a Data Platform Engineer
- Excellent Python and SQL skills and confident with the Modern Data Stack (e.g., dbt, Airflow, Dagster) and ETL/ELT processes
- Practical experience with embedding pipelines and vector databases (e.g., Qdrant, Weaviate, Milvus, pgvector)
- Experience handling sensitive and personal data responsibly and knowledge of relevant regulations (especially GDPR and awareness of the EU AI Act)
Benefits
Comp & perks- 30 days of vacation
- dedicated professional development budget
- state-of-the-art work equipment